时间序列分解中具有期望值的线性模型的买票估计值

K. Dozie, Stephen O. Ihekuna
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摘要

本研究讨论了线性趋势周期和季节指数的买方博略估计值与时间序列分析中混合模型的预期值。重点是推导出混合模型中 Buys-Ballot 表的行、列和总均值的预期值。我们利用现实生活中的数据来确定趋势参数、季节性指数的估算,并选择合适的买入-卖出表模型。结果表明:(1)行平均值的期望值模仿了原始序列趋势参数的形状,并且在 \[C_1=\sum_{j=1}^S j s_j\] 中包含了季节效应(2)列平均值的期望值也模仿了原始序列趋势曲线的形状,并且包含了季节效应(3)最能描述汇总表(表 5)中所列研究序列模式的合适模型是混合模型。
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Buys-Ballot Estimates for Linear Model with the Expected Values in Time Series Decomposition
The study discusses the Buys-Ballot estimates for linear trend-cycle and seasonal indices with the expected values for mixed model in time series analysis. The emphasis is to derive the expected values of row, column and overall means of the of Buys-Ballot table for the mixed model. We use a real life data to determine the estimation of trend parameters, seasonal indices and choice of appropriate model of the Buys-Ballot table. Results indicate that, (1) the expected value of the row average mimic the shape of the trending parameters of the original series and contains seasonal effect in \[C_1=\sum_{j=1}^S j s_j\] (2) the expected value of the column average also mimic the shape of the trending curves of the original series and contain seasonal effect (3) the appropriate model that best describe the pattern of the study series listed in the summary table (Table 5) is mixed.
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